People Data & Insights Engineer

Takeda; Ciudad de México; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Descripción de la vacante

Takeda is seeking a People Data & Insights Engineer to build and scale the data foundation for People Analytics. You will transform HR and employee-experience data into structured assets, enabling robust workforce insights and analytics.

Embedded in Takeda’s People Analytics and Capabilities team, you’ll work with HR use cases like talent metrics, employee listening, and workforce planning, ensuring data is technically sound and analytically meaningful.

Formación

• Bachelor’s degree in a quantitative field or equivalent experience.
• ~3–6 years of experience in analytics, data engineering, or people analytics.
• Advanced SQL and experience with large, complex datasets.
• Proficiency in Python for data processing and automation.
• Experience with cloud data platforms (Databricks, Snowflake).
• Strong experience designing analytical data models (dimensional modeling, time-series).
• Proficiency in English is mandatory.
• Experience with HR data or other complex behavioral datasets.
• Ability to translate ambiguous business questions into structured data solutions.
• Strong attention to detail and data quality.

Responsabilidades

• Design and maintain robust pipelines that integrate HR systems into curated datasets.
• Build data models to support reporting and longitudinal analysis.
• Partner with People Analysts and HR stakeholders to embed questions into data models.
• Implement validation checks, reconciliation, and monitoring for data integrity.
• Build datasets powering reporting across hiring, retention, mobility, skills, engagement.
• Create documentation and reusable frameworks for data modeling and access.
• Apply AI-assisted approaches to accelerate development and improve code quality.

Conocimientos

Advanced SQL

Python

Databricks

Snowflake

Analytical data modeling

English communication

HR data experience

Data quality

Educación

Bachelor's degree in quantitative field

Descripción del empleo

Job Description

We are seeking a People Data & Insights Engineer to build and scale the data foundation that powers People Analytics at Takeda. This role sits at the intersection of data engineering and workforce insights, focusing on transforming complex HR and employee experience data into structured and reliable data assets.

This position is embedded within Takeda’s People Analytics and Capabilities team and requires deep engagement with HR use cases such as talent metrics, employee listening, and workforce planning, ensuring data is not only technically sound, but analytically meaningful.

How you will contribute

• Design and maintain robust pipelines that integrate HR systems (HRIS, ATS, survey/listening platforms, etc.) into curated, reusable datasets. Build data models that support consistent reporting, longitudinal analysis (e.g., workforce changes over time), and deeper insights into employee experience.

• Partner closely with People Analysts and HR stakeholders to understand evolving business questions and embed them into well-designed data models and pipelines.

• Implement validation checks, reconciliation logic, and monitoring processes to ensure the integrity of people data across sources and time.

• Build and maintain datasets that power consistent reporting across core People Analytics domains (e.g., hiring, retention, mobility, skills, engagement).

• Create clear documentation and reusable frameworks to improve how people data is modeled, accessed, and reused across the function.

• Apply AI-assisted approaches (e.g., code generation, data exploration, documentation, and troubleshooting) to accelerate development, improve code quality, and streamline pipeline and data model creation.

Skills and qualifications

• Bachelor’s degree in a quantitative field (e.g., Data Science, Computer Science, Economics, Analytics) or equivalent experience

• ~3–6 years of experience in analytics, data engineering, or people analytics

• Advanced SQL and experience working with large, complex datasets

• Proficiency in Python (or similar) for data processing and automation

• Experience with cloud data platforms (e.g., Databricks, Snowflake)

• Strong experience designing analytical data models (e.g., dimensional modeling, time-series structures)

• Proficiency communicating in English language is mandatory

• Experience working with HR data (HRIS, recruiting, survey/listening platforms) or other complex behavioral datasets

• Ability to translate ambiguous business questions into structured data solutions

• Strong attention to detail and commitment to data quality

Locations

MEX - Santa Fe

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time